We visualize the direction vector with t-SNE [1]} (see Fig. REF ). By subtracting the vectors of the latent code guided by each modality and the source latent code, we show the distribution of the direction of manipulation.
We select the attributes in VGG-Sound [2]} and randomly manipulate the audio and text prompts.
Although we randomly sample the audio and text having the similar semantics, the sound-guided latent code shows a more significant transition than the text-guided latent code.
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